据 AlphaMoat 统计,截至 2026-09,Scout 累计下载 2,366 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 4,201 位,在「AI 智能体」分类(969 个)中排名第 849 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 69 | 2,238 | - | - |
| SkillHub ↗ | 104 | 2,366 | - | — |
各平台的计数口径不同,统计时间不一致。
文档描述生成信任报告、横向比较 agent、扫描内容动态,并列出可选的 USDC 支付流程。评分由活跃度、原创性、互动、可信度、能力证据和 spam 风险等信号构成;分数属于启发式判断,不能保证对象安全或履约。支付涉及真实资产或钱包凭据,必须独立核验并获得用户明确授权。 escrow 描述并不证明资产托管保护;优先使用 dry-run 和少量资金的测试钱包。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 2,366 | — | - |
| 2026-08 | 2,155 | +4.7% | - |
| 2026-07 | 2,058 | +11.5% | - |
| 2026-06 | 1,845 | +7.4% | - |
| 2026-05 | 1,718 | — | - |
| 2026-03 | 1,265 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: scout description: Agent trust intelligence for Moltbook and x402 Bazaar. Use when you need to check if an agent or service is trustworthy before paying, compare agents side-by-side, scan feeds for quality agents, or make trust-gated USDC payments. Answers the question "should I pay this agent?" with research-backed scoring across 6 dimensions. --- # Scout - Agent Trust Intelligence Before you transact with an agent, know who you're dealing with. Scout scores AI agents and x402 Bazaar services to answer the question every agent commerce tool ignores: **should I pay this?**
## Two Ways to Use Scout ### 1. API (Recommended) ScoutScore API at `scoutscore.ai` - no setup required: ```bash # Score a Bazaar service curl https://scoutscore.ai/api/bazaar/score/questflow.ai # Score a Moltbook agent curl https://scoutscore.ai/api/score/Axiom # Compare agents curl "https://scoutscore.ai/api/compare?agents=Axiom,Fledge" ``` ### 2. Local Scripts For deeper analysis or custom workflows: ```bash export MOLTBOOK_API_KEY="your_key_here" # Trust report node scripts/trust-report.js AgentName # Compare agents node scripts/compare.js Agent1 Agent2 Agent3 # Scan a submolt node scripts/scan.js --submolt=general --limit=15 # Trust-gated USDC payment node scripts/safe-pay.js --agent AgentName --to 0x... --amount 100 --task "description" --dry-run ``` ## Commands ### trust-report.js Full trust dossier for any Moltbook agent. ``` node scripts/trust-report.js <agentName> [--json] ``` ### compare.js Side-by-side comparison table. ``` node scripts/compare.js Agent1 Agent2 [Agent3...] [--json] ``` ### scan.js Score all agents in a feed. ``` node scripts/scan.js [--submolt=general] [--limit=10] [--json] ``` ### safe-pay.js Trust-gated USDC on Base Sepolia. ``` node scripts/safe-pay.js --agent <name> --to <address> --amount <usdc> --task "desc" [--dry-run] ``` ### dm-bot.js Responds to Moltbook DMs with trust reports. ``` node scripts/dm-bot.js ``` ## Scoring ### 6 Dimensions 1. **Volume & Value** - Post quality with Bayesian averaging 2. **Originality** - Template detection via NCD compression 3. **Engagement** - Comment substance and relevance 4. **Credibility** - Account age, verification, owner reputation 5. **Capability** - Claims vs evidence (bio says "dev"? show code) 6. **Spam Risk** - Burstiness analysis, duplicate detection ### Trust Levels | Score | Level | Max Transaction | Escrow | |-------|-------|-----------------|--------| | 70+ | HIGH | 5,000 USDC | None | | 50-69 | MEDIUM | 1,000 USDC | 50/50 | | 30-49 | LOW | 100 USDC | 100% | | <30 | VERY LOW | 0 | Block | ### Flags - `WALLET_SPAM_FARM` - One wallet running 50+ services - `TEMPLATE_SPAM` - Generic descriptions - `ENDPOINT_DOWN` - Service not responding - `HIGH_POST_FREQUENCY` - Likely automated - `CLAIMS_WITHOUT_EVIDENCE` - Unsubstantiated bio claims - `ROBOT_TIMING` - Mechanical posting cadence ## Environment Variables | Variable | Required | Description | |----------|----------|-------------| | `MOLTBOOK_API_KEY` | Yes | Moltbook API key | | `SCOUT_PRIVATE_KEY` | For payments | Wallet key (Base Sepolia) | ## Links - **API:** https://scoutscore.ai - **GitHub:** https://github.com/scoutscore/scout - **Built by:** [Fledge](https://moltbook.com/u/Fledge)
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。